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This study explores the application of the Mid-Level Hypothesis (MLH) algorithm to enhance depth maps created by DERS, focusing on sub-pixel precision with low computational complexity. The research builds on previous experiments and introduces a post-processing tool compatible with DERS, showcasing notable improvements in precision and smoothness, as well as enhanced PSNR gains compared to existing methods. The findings indicate the potential of MLH for efficient depth map refinement, urging further testing across diverse sequences for comprehensive evaluation.
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M16028 - Application of MLH for improvement of depth maps produced by DERS Olgierd StankiewiczKrzysztof Wegnerteam supervisor: Marek Domański Chair of Multimedia Telecommunications and MicroelectronicsPoznań University of Technology, Poland February 1st, 2009, Lausanne
Introduction • Results of experiments in M16027 • Already existing tool, presented to MPEG in M15338 • Used for improvement of DERS (Nagoya) instead of PUT m16028
What is MLH? • Mid-Level Hypothesis algorithm • Post-processing tool that introduces sub-pixel precision to already estimated depth maps, • Low computational complexity m16028
Experiments • Similar to EEs, according to guidlines in W9991, • MLH upgraded to be DERS compatible • Configuration files • Depth maps • Limited set of sequences m16028
Alt Moabit m16028
Lovebird 1 m16028
Book arrival m16028
Newspaper m16028
DERS – QPel precision m16028
DERS – Pixel precision m16028
DERS + MLH –> QPel precision m16028
Conclusions - improvement • Compared to DERS Pel precision • 0.5 dB to 2 dB of PSNR gain • Compared to DERS HPel precision • up to 1 dB of PSNR gain • Subjectively more ‘smooth’ m16028
Conclusions • Can be used with little effort • Low computational cost • Further test over variety of sequences are encouraged m16028